论文标题
用于金融的量子优化的用例
Use Cases of Quantum Optimization for Finance
论文作者
论文摘要
在本文中，我们简要审查了针对金融和经济中严重问题的量子优化算法的两种近期用途。具体来说，我们讨论了金融崩溃的预测以及动态投资组合优化。我们对进行这些优化的不同类型的量子策略进行评论，例如基于量子退火器，基于通用门的量子处理器和量子启发的张量网络的量子策略。
In this paper we briefly review two recent use-cases of quantum optimization algorithms applied to hard problems in finance and economy. Specifically, we discuss the prediction of financial crashes as well as dynamic portfolio optimization. We comment on the different types of quantum strategies to carry on these optimizations, such as those based on quantum annealers, universal gate-based quantum processors, and quantum-inspired Tensor Networks.
